Why These Three Data Management Platforms Stand Out

The tremendous inherent value of data has received a lot of attention in recent years. Unfortunately, in the past, companies were often ignorant of the importance of the information they collected.

Even if they did collect customer information, they often did so little. The information was in dark data piles that remained unanalyzed and unattended on forgotten hard drives or cloud-based storage sites. At other times, companies made an effort but used incorrect data in the process. In fact, in 2016, a report claimed that bad information was costing the US. $ 3.1 trillion per year.

Struggles like these have led to an increase in the number of data management platforms (DMPs) available. Each tool offers to perform a similar set of elements: identify, collect, organize and analyze data throughout the activities of an organization. Analysts can then distill this variable information into meaningful statistics and practical recommendations.

Why These Three Data Management Platforms Stand Out

With so many data management platforms available, it can be difficult to decipher which ones have an advantage. With that in mind, here are three of the best DMPs available, as well as Unique Selling Points (PVUs) that help each one stand out from the crowd.

1. Acceldata

Acceldata is a growing DMP focusing on data observability. The platform uses AI / ML to manage all the data layers involved: the infrastructure layer, the data layer, and the data pipeline layer. According to its website, data pipelines are like modern supply chains of digital information.

For Acceldata, the main goal is to keep the data supply chain of a company optimized and reliable. Its data observability platform identifies potential errors to fix any potential problems before they arise. This helps everything run like a well-oiled machine. At a glance, the platform can provide a complete cross-sectional view of a company’s data, regardless of the form, source, technology, or scale of the incoming information.

The need for data reliability is important and is also a benefit advertised by other tools. For example, its companion DMP Monte Carlo focuses heavily on the reliability aspect of its data management tool. But Acceldata goes further by ensuring that your data is not only reliable but also understandable.

In other words, humans can use the program in an understandable way to reduce risk and increase execution speed. This allows a company’s data strategy to stay in sync with the broader activities and goals of the organization.

2. Unravel

For the emerging DMP platform Unravel, simplicity it’s key. The company’s data management tool works like most DMP software. You can track, analyze, and maintain data across an organization’s various APIs and touch points.

However, Unravel takes things further by making them as simple as possible. The software takes the intensely complex elements of a modern technology stack and reduces them to a streamlined, easy-to-understand level.

Unravel emphasizes factors such as comprehensive analysis and complete visibility. The company also provides specific knowledge pertaining to each of its clients’ circumstances. It also provides recommendations based on artificial intelligence on how to tackle each problem.

In essence, the goal of Unravel is to lead customers by the hand and guide them through the data observability process from start to finish. While part of this process is left to the AI, it doesn’t change the fact that simple, easy-to-understand results are key.

3. Pepperdata

Pepperdata is another data management platform that takes observability seriously. The brand strives to create enhanced visibility and offer operational insights and solution recommendations.

Along with these common data observability activities, Pepperdata uses machine learning automation. The ML aspects of the software follow the sequential aspects of a problem, tracing it step by step through your system.

Over time, this doesn’t just help you identify and solve problems. It can also help you understand how your system works on the back end.

All users may not need this information, but the ability to deepen your knowledge and understanding can be a great selling point for many clients. This is particularly true for those who are overwhelmed by the fleeting nature of a modern tech work environment.

Countless data management platforms already exist, and more are being created every day. However, simply using a DMP is not a reliable solution. Instead, it’s important to look for the specific traits that help each platform stand out.

Data observability creates a more seamless, reliable, and understandable experience. Additional factors like reliability, simplicity, and additional insights can make or break your DMP adventures, too.

So consider what type of tool you are looking for. What will benefit your company the most? Once you’ve isolated that X-factor, you can look up that capability on the DMP platform of your choice.

This ensures that you will not just collect and analyze data in the right way. You can also use it creatively to your advantage.

Image credit: nataliya vaikevich; pexels; Thank you!

Deanna ritchie

Deanna ritchie

Editor-in-chief at ReadWrite

Deanna is the managing editor for ReadWrite. Previously, she worked as the editor-in-chief of Startup Grind and has over 20 years of content management and content development experience.


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